json.dumps gives an error if both json and jsondatetime are imported. The error is the following:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/lib/python3.5/json/__init__.py", line 230, in dumps
return _default_encoder.encode(obj)
TypeError: encode() missing 1 required positional argument: 'o'
But I just import JSON, then json.dumps work fine. I don't know how to deal with this. I need jsondatetime as well
This works::
import json
json.dumps({'DbName': 'DB','Hostname': '10.0.0.6','DbUsername':'SYSTEM'})
'{"Hostname": "10.0.0.6","DbName": "DB", "DbUsername": "SYSTEM"}'
This does not work::
import jsondatetime
import json
json.dumps({'DbName': 'DB', 'Hostname': '10.0.0.6', 'DbUsername': 'SYSTEM'})
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/lib/python3.5/json/__init__.py", line 230, in dumps
return _default_encoder.encode(obj)
TypeError: encode() missing 1 required positional argument: 'o'
jsondatetime is a drop-in replacement for json. You should only have
import jsondatetime as json
From the documentation:
JSON-datetime is a very simple wrapper around Python simplejson loads method. It decodes datetime values contained in JSON strings.
Related
Trying to set the datatype to decimal. I get an error that pyarrow doesn't have the attribute decimal
>>> import pyarrow
>>> pyarrow.decimal(8)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
AttributeError: module 'pyarrow' has no attribute 'decimal'
Found that pa.decimal128(18) works
I have been trying to upload a Pandas dataframe to a JSON object in Cloud Storage using Cloud Function. Follwing is my code -
def upload_blob(bucket_name, source_file_name, destination_blob_name):
"""Uploads a file to the bucket."""
storage_client = storage.Client()
bucket = storage_client.get_bucket(bucket_name)
blob = bucket.blob(destination_blob_name)
blob.upload_from_file(source_file_name)
print('File {} uploaded to {}.'.format(
source_file_name,
destination_blob_name))
final_file = pd.concat([df, df_second], axis=0)
final_file.to_json('/tmp/abc.json')
with open('/tmp/abc.json', 'r') as file_obj:
upload_blob('test-bucket',file_obj,'abc.json')
I am getting the following error in line - blob.upload_from_file(source_file_name)
Deployment failure:
Function failed on loading user code. Error message: Code in file main.py
can't be loaded.
Detailed stack trace: Traceback (most recent call last):
File "/env/local/lib/python3.7/site-
packages/google/cloud/functions/worker.py", line 305, in
check_or_load_user_function
_function_handler.load_user_function()
File "/env/local/lib/python3.7/site-
packages/google/cloud/functions/worker.py", line 184, in load_user_function
spec.loader.exec_module(main)
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "/user_code/main.py", line 6, in <module>
import datalab.storage as gcs
File "/env/local/lib/python3.7/site-packages/datalab/storage/__init__.py",
line 16, in <module>
from ._bucket import Bucket, Buckets
File "/env/local/lib/python3.7/site-packages/datalab/storage/_bucket.py",
line 21, in <module>
import datalab.context
File "/env/local/lib/python3.7/site-packages/datalab/context/__init__.py",
line 15, in <module>
from ._context import Context
File "/env/local/lib/python3.7/site-packages/datalab/context/_context.py",
line 20, in <module>
from . import _project
File "/env/local/lib/python3.7/site-packages/datalab/context/_project.py",
line 18, in <module>
import datalab.utils
File "/env/local/lib/python3.7/site-packages/datalab/utils/__init__.py",
line 15
from ._async import async, async_function, async_method
^
SyntaxError: invalid syntax
What possibly is the error?
You are passing a string to blob.upload_from_file(), but this method requires a file object. You probably want to use blob.upload_from_filename() instead. Check the sample in the GCP docs.
Alternatively, you could get the file object, and keep using blob.upload_from_file(), but it's unnecessary extra lines.
with open('/tmp/abc.json', 'r') as file_obj:
upload_blob('test-bucket', file_obj, 'abc.json')
Use a bucket object instead of string
something like upload_blob(conn.get_bucket(mybucket),'/tmp/abc.json','abc.json')}
I'm using a NAO robot with naoqi version 2.1 and Choregraphe on Windows. I want to parse json from an attached file to the behavior. I attached the file like in that link.
Code:
def onLoad(self):
self.filepath = os.path.join(os.path.dirname(ALFrameManager.getBehaviorPath(self.behaviorId)), "fileName.json")
def onInput_onStart(self):
with open(self.filepath, "r") as f:
self.data = self.json.load(f.get_Response())
self.dataFromFile = self.data['value']
self.log("Data from file: " + str(self.dataFromFile))
But when I run this code on the robot (connected with a router) I'll get an error:
[ERROR] behavior.box :_safeCallOfUserMethod:281 _Behavior__lastUploadedChoregrapheBehaviorbehavior_1136151280__root__AbfrageKontostand_3__AuslesenJSONDatei_1: Traceback (most recent call last):
File "/usr/lib/python2.7/site-packages/naoqi.py", line 271, in _safeCallOfUserMethod
func()
File "<string>", line 20, in onInput_onStart
File "/usr/lib/python2.7/site-packages/inaoqi.py", line 265, in <lambda>
__getattr__ = lambda self, name: _swig_getattr(self, behavior, name)
File "/usr/lib/python2.7/site-packages/inaoqi.py", line 55, in _swig_getattr
raise AttributeError(name)
AttributeError: json
I already tried to understand the code from the correspondending lines but I couldn't fixed the error. But I know that the type of my object f is 'file'. How can I open the json file as a json file?
Your problem comes from this:
self.json.load(f.get_Response())
... there is no such thing as "self.json" on a Choregraphe box, import json and then do json.load. And what is get_Response ? That method doesn't exist on anything in Python that I know of.
You might want to first try making a standalone python script (that doesn't use the robot) that can read your json file before you try it with choregraphe. It will be easier.
There are couple of questions related to this error:
JSON object must be str, not 'bytes'
However, except obvious solution to read and decode response, I didn't learn anything special.
Here is example to the problem:
>>> import json
>>> from urllib.request import urlopen
>>> url = 'http://echo.jsontest.com/key/value/one/two'
>>> with urlopen(url) as request:
... json.load(request)
...
Traceback (most recent call last):
File "<stdin>", line 2, in <module>
File "C:\Python35\lib\json\__init__.py", line 268, in load
parse_constant=parse_constant, object_pairs_hook=object_pairs_hook, **kw)
File "C:\Python35\lib\json\__init__.py", line 312, in loads
s.__class__.__name__))
TypeError: the JSON object must be str, not 'bytes'
So my question is why Python's JSON deserializer (that accepts file-like objects with .read() method), does not try to handle this request, as response headers hint all there is needed to know:
Content-Type: application/json; charset=ISO-8859-1
Headers hint, they do not guarantee, but that can not be a reason not to try the obvious IMHO.
Use json.loads instead of json.load
I am using Python 2.6.6, and trying to generate a ordered_dict from json string. I could understand that I could use object_pairs_hook of json Decoder/loads, but unfortunately it's not supported in 2.6.6. Is there any way out?
e.g.
template_s = '{ "aa": {"_type": "T1"}, "bb": {"_type": "T11"}}'
json.loads(template_s, object_pairs_hook=OrderedDict)
>>> json.loads(json_str, object_pairs_hook=OrderedDict)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/usr/lib64/python2.6/json/__init__.py", line 318, in loads
return cls(encoding=encoding, **kw).decode(s)
TypeError: __init__() got an unexpected keyword argument 'object_pairs_hook'
Thanks
I was able to do the same with simplejson
import simplejson as json
json.loads(config_str, object_pairs_hook=json.OrderedDict)